The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red. The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The interactive Survival Scatter plot allows for the cutoff to be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Survival analysis". Under the Survival Scatter plot the p-score landscape is shown together with the difference in median between survival time for patients who have died with respect to high and low expression. This is intended to aid the user in exploring custom cutoffs.

Individual patient data is displayed in an interactive plot and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off).

Based on the FPKM value of each gene, we classified the patients into two groups and examined their prognoses. In the analysis, we excluded genes with low expression, i.e., those with a median expression among samples less than FPKM 1. The prognosis of each group of patients was examined by Kaplan-Meier survival estimators, and the survival outcomes of the two groups were compared by log-rank tests. To choose the best FPKM cut-offs for grouping the patients most significantly, all FPKM values from the 20th to 80th percentiles were used to group the patients, significant differences in the survival outcomes of the groups were examined and the value yielding the lowest log-rank P value is selected.

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A3-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A

TCGA RNA samplesi

RNA-seq data is reported as median FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average FPKM

424.3

Number of samples

153

Samples

Sample

Description

FPKM

TCGA-28-2509-01A

77 years, female, white, alive, 145 days

1084.0

TCGA-28-5216-01A

52 years, male, white, alive, 415 days

951.0

TCGA-76-4925-01A

76 years, male, white, dead, 146 days

852.2

TCGA-06-0187-01A

69 years, male, white, dead, 828 days

827.5

TCGA-12-5295-01A

60 years, female, white, dead, 454 days

821.8

TCGA-41-2571-01A

89 years, male, white, dead, 26 days

779.3

TCGA-12-0619-01A

60 years, male, white, dead, 1062 days

777.8

TCGA-76-4932-01A

50 years, female, white, dead, 1458 days

751.4

TCGA-06-0210-01A

72 years, female, white, dead, 225 days

747.6

TCGA-19-1390-01A

63 years, female, white, dead, 772 days

746.0

TCGA-32-1982-01A

76 years, female, white, dead, 142 days

744.0

TCGA-26-5132-01A

74 years, male, white, alive, 286 days

723.7

TCGA-32-2616-01A

48 years, female, white, dead, 224 days

712.1

TCGA-06-0644-01A

71 years, male, black or african american, dead, 384 days

676.7

TCGA-02-0055-01A

62 years, female, white, dead, 76 days

676.3

TCGA-06-5408-01A

54 years, female, white, dead, 357 days

675.7

TCGA-06-0174-01A

54 years, male, white, dead, 98 days

675.6

TCGA-28-2514-01A

45 years, male, asian, alive, 160 days

635.8

TCGA-19-2625-01A

76 years, female, white, dead, 124 days

610.9

TCGA-12-1597-01B

62 years, female, white, dead, 675 days

598.6

TCGA-02-2486-01A

64 years, male, white, dead, 618 days

598.3

TCGA-06-5416-01A

23 years, female, white, alive, 204 days

597.6

TCGA-06-5856-01A

58 years, male, white, dead, 114 days

597.1

TCGA-06-0686-01A

53 years, male, white, dead, 432 days

593.6

TCGA-15-0742-01A

65 years, male, white, dead, 419 days

587.0

TCGA-12-5299-01A

56 years, female, white, dead, 98 days

569.8

TCGA-06-0190-01A

62 years, male, white, dead, 317 days

563.9

TCGA-27-2528-01A

62 years, male, white, dead, 480 days

556.2

TCGA-19-1787-01B

49 years, male, white, dead, 385 days

552.8

TCGA-19-4065-01A

36 years, male, white, alive, 214 days

550.2

TCGA-32-2615-01A

62 years, male, white, dead, 485 days

532.0

TCGA-02-2483-01A

43 years, male, asian, alive, 466 days

530.0

TCGA-28-5209-01A

66 years, female, white, alive, 77 days

528.5

TCGA-26-5134-01A

74 years, male, white, alive, 167 days

524.1

TCGA-14-0817-01A

69 years, female, white, dead, 164 days

519.2

TCGA-41-4097-01A

63 years, female, white, dead, 6 days

518.6

TCGA-12-0618-01A

49 years, male, white, dead, 395 days

512.3

TCGA-26-5135-01A

72 years, female, white, dead, 270 days

495.8

TCGA-27-1832-01A

59 years, female, white, dead, 300 days

493.1

TCGA-14-0781-01B

49 years, male, black or african american, dead, 29 days

490.7

TCGA-41-3915-01A

48 years, male, white, dead, 360 days

479.4

TCGA-32-4213-01A

47 years, female, white, alive, 604 days

479.3

TCGA-06-5418-01A

75 years, female, white, dead, 83 days

476.7

TCGA-27-2523-01A

63 years, male, white, dead, 489 days

470.4

TCGA-28-2499-01A

59 years, male, white, dead, 95 days

467.0

TCGA-06-0219-01A

67 years, male, white, dead, 22 days

466.1

TCGA-41-2572-01A

67 years, male, white, dead, 406 days

464.0

TCGA-76-4931-01A

70 years, female, white, dead, 279 days

463.6

TCGA-28-5220-01A

67 years, male, white, dead, 388 days

462.2

TCGA-06-5413-01A

67 years, male, white, alive, 268 days

459.6

TCGA-06-0646-01A

61 years, male, white, dead, 175 days

459.3

TCGA-06-0645-01A

56 years, female, white, dead, 175 days

451.8

TCGA-14-1825-01A

70 years, male, white, dead, 232 days

451.4

TCGA-27-2524-01A

56 years, male, white, dead, 231 days

450.4

TCGA-41-5651-01A

59 years, female, black or african american, dead, 460 days

448.4

TCGA-06-5858-01A

45 years, female, white, alive, 187 days

448.2

TCGA-06-2567-01A

65 years, male, white, dead, 133 days

445.9

TCGA-27-2519-01A

48 years, male, white, dead, 550 days

445.2

TCGA-06-2559-01A

83 years, male, white, dead, 150 days

441.3

TCGA-76-4929-01A

76 years, female, white, dead, 111 days

440.4

TCGA-12-0821-01A

62 years, male, white, dead, 323 days

437.3

TCGA-14-0871-01A

75 years, female, white, dead, 880 days

428.2

TCGA-12-0616-01A

36 years, female, white, dead, 448 days

425.8

TCGA-14-1034-01A

60 years, female, dead, 485 days

425.1

TCGA-26-5139-01A

65 years, female, white, alive, 48 days

408.1

TCGA-08-0386-01A

74 years, male, white, dead, 548 days

407.6

TCGA-26-5133-01A

59 years, male, white, alive, 452 days

406.9

TCGA-27-1835-01A

53 years, female, white, dead, 648 days

401.2

TCGA-06-5412-01A

78 years, female, white, dead, 138 days

399.7

TCGA-06-2565-01A

59 years, male, asian, dead, 506 days

399.7

TCGA-16-0846-01A

85 years, male, white, dead, 119 days

397.3

TCGA-28-5215-01A

62 years, female, white, dead, 335 days

395.5

TCGA-32-1980-01A

72 years, male, white, dead, 36 days

395.0

TCGA-14-1823-01A

58 years, female, white, dead, 543 days

392.1

TCGA-06-0158-01A

73 years, male, white, dead, 329 days

392.1

TCGA-28-5204-01A

72 years, male, white, dead, 454 days

391.2

TCGA-12-3650-01A

46 years, male, white, dead, 333 days

388.5

TCGA-28-1747-01C

44 years, male, white, dead, 77 days

384.1

TCGA-06-0130-01A

54 years, male, white, dead, 394 days

382.5

TCGA-06-0749-01A

50 years, male, black or african american, dead, 82 days

380.5

TCGA-02-0047-01A

78 years, male, white, dead, 448 days

380.3

TCGA-27-2526-01A

79 years, female, white, dead, 87 days

378.1

TCGA-12-3653-01A

34 years, female, white, dead, 442 days

376.8

TCGA-32-5222-01A

66 years, male, white, dead, 585 days

376.0

TCGA-06-5414-01A

61 years, male, white, alive, 273 days

374.9

TCGA-19-2619-01A

55 years, female, black or african american, alive, 294 days

374.3

TCGA-32-1970-01A

59 years, male, white, dead, 468 days

374.1

TCGA-06-0750-01A

43 years, male, white, dead, 28 days

373.2

TCGA-28-2513-01A

69 years, female, white, alive, 222 days

371.3

TCGA-06-5410-01A

72 years, female, white, dead, 108 days

371.1

TCGA-27-2521-01A

34 years, male, white, dead, 510 days

367.3

TCGA-06-2557-01A

76 years, male, black or african american, dead, 33 days

364.0

TCGA-02-2485-01A

53 years, male, black or african american, alive, 470 days

361.3

TCGA-12-3652-01A

60 years, male, white, dead, 1062 days

360.5

TCGA-06-0125-01A

63 years, female, white, dead, 1448 days

359.6

TCGA-27-1830-01A

57 years, male, white, dead, 154 days

357.4

TCGA-26-5136-01B

78 years, female, white, dead, 577 days

356.2

TCGA-27-1837-01A

36 years, male, white, dead, 427 days

351.1

TCGA-32-2632-01A

80 years, male, white, dead, 269 days

347.6

TCGA-76-4926-01B

68 years, male, white, dead, 138 days

344.6

TCGA-06-0882-01A

30 years, male, white, dead, 632 days

343.2

TCGA-06-0138-01A

43 years, male, white, dead, 737 days

342.2

TCGA-28-1753-01A

53 years, male, white, alive, 37 days

342.1

TCGA-06-2558-01A

75 years, female, white, dead, 380 days

337.8

TCGA-06-0141-01A

62 years, male, white, dead, 313 days

337.6

TCGA-06-0211-01B

47 years, male, white, dead, 360 days

337.4

TCGA-06-2561-01A

53 years, female, white, dead, 537 days

336.0

TCGA-28-5207-01A

71 years, male, white, dead, 343 days

335.4

TCGA-28-5208-01A

52 years, male, white, dead, 544 days

334.8

TCGA-06-0139-01A

40 years, male, white, dead, 362 days

332.6

TCGA-16-1045-01B

49 years, female, white, dead, 883 days

331.6

TCGA-06-0168-01A

59 years, female, white, dead, 598 days

331.6

TCGA-06-5417-01A

45 years, female, white, alive, 155 days

326.8

TCGA-06-0157-01A

63 years, female, white, dead, 97 days

325.7

TCGA-06-2570-01A

21 years, female, white, alive, 958 days

325.0

TCGA-14-2554-01A

52 years, female, white, dead, 532 days

324.8

TCGA-76-4927-01A

58 years, male, white, dead, 535 days

318.0

TCGA-06-0156-01A

57 years, male, white, dead, 178 days

316.0

TCGA-06-0178-01A

39 years, male, white, dead, 2681 days

312.5

TCGA-06-0745-01A

59 years, male, white, dead, 239 days

310.8

TCGA-19-2624-01A

51 years, male, white, dead, 5 days

310.6

TCGA-06-5411-01A

51 years, male, white, dead, 254 days

308.2

TCGA-06-0238-01A

46 years, male, white, dead, 405 days

295.7

TCGA-06-2564-01A

50 years, male, white, alive, 181 days

291.3

TCGA-19-2629-01A

60 years, male, white, dead, 737 days

290.6

TCGA-06-2563-01A

72 years, female, white, alive, 932 days

287.0

TCGA-06-0878-01A

74 years, male, white, alive, 218 days

276.5

TCGA-06-2562-01A

81 years, male, white, dead, 382 days

276.2

TCGA-14-0789-01A

54 years, male, white, dead, 342 days

273.4

TCGA-06-0132-01A

49 years, male, white, dead, 771 days

273.2

TCGA-19-5960-01A

56 years, male, white, dead, 455 days

272.5

TCGA-06-0744-01A

67 years, male, white, dead, 1426 days

264.5

TCGA-76-4928-01B

85 years, female, white, dead, 94 days

261.9

TCGA-14-0787-01A

69 years, male, asian, dead, 68 days

257.3

TCGA-06-0184-01A

63 years, male, white, dead, 2126 days

256.6

TCGA-27-1834-01A

56 years, male, white, dead, 1233 days

254.8

TCGA-27-1831-01A

66 years, male, white, dead, 505 days

247.4

TCGA-32-2634-01A

82 years, male, white, alive, 693 days

245.7

TCGA-28-5218-01A

63 years, male, white, dead, 157 days

244.4

TCGA-28-5213-01A

72 years, male, white, alive, 951 days

235.9

TCGA-06-0649-01B

73 years, female, black or african american, dead, 64 days

235.1

TCGA-32-2638-01A

67 years, male, white, dead, 766 days

225.7

TCGA-15-1444-01A

21 years, male, white, dead, 1537 days

222.4

TCGA-26-1442-01A

43 years, male, white, alive, 953 days

221.7

TCGA-14-0790-01B

64 years, female, white, dead, 419 days

221.6

TCGA-06-2569-01A

24 years, female, black or african american, alive, 13 days

178.6

TCGA-14-1829-01A

57 years, male, black or african american, alive, 218 days

172.1

TCGA-06-0747-01A

53 years, male, white, dead, 82 days

166.7

TCGA-06-5859-01A

63 years, male, white, alive, 139 days

161.5

TCGA-06-0129-01A

30 years, male, asian, dead, 1024 days

157.6

TCGA-19-2620-01A

70 years, male, white, dead, 148 days

150.1

TCGA-06-1804-01A

81 years, female, white, dead, 414 days

137.9

TCGA-06-0743-01A

69 years, male, white, dead, 803 days

136.3

Show all

GLIOMA - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

Antibody stainingi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off).